A comparison of rule-based versus exemplar-based categorization using the ACT-R architecture
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Authors
Rutledge-Taylor, Matthew
Lebiere, Christian
Thomson, Robert
Staszewski, James
Anderson, John
Issue Date
2012
Type
Conference presentations, papers, posters
Language
Keywords
cognitive modeling , categorization , learning
Alternative Title
Abstract
A rule-based approach to categorization is compared with an exemplar-based approach. Both models were developed using the ACT-R architecture. Both approaches yield similar accuracy and are relatively impervious to varying model parameters. Implications for the nature of implicit and explicit knowledge and learning are discussed.
Description
Citation
Rutledge-Taylor, M., C. Lebiere, R. Thomson, J. Staszewski, and J. R. Anderson. "A comparison of rule-based versus exemplar-based categorization using the ACT-R architecture." In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation, BRIMS Society: Amelia Island, FL. 2012.
Publisher
BRiMS Annual Conference